Cover Image

MRI-to-CT Synthesis With Cranial Suture Segmentations Using A Variational Autoencoder Framework

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Iyer, Krithika, Tapp, Austin, Paulli, Athelia, Dickerson, Gabrielle, Anwar, Syed Muhammad, Lepore, Natasha, Linguraru, Marius George
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Post-Processing Methods for Improving Accuracy in MRI Inpainting
by: Kulkarni, Nishad, et al.
Published: (2025)

Improving Pre-trained Segmentation Models using Post-Processing
by: Parida, Abhijeet, et al.
Published: (2025)

Adaptable Segmentation Pipeline for Diverse Brain Tumors with Radiomic-guided Subtyping and Lesion-Wise Model Ensemble
by: Capellán-Martín, Daniel, et al.
Published: (2025)

Magnetic Resonance Imaging Feature-Based Subtyping and Model Ensemble for Enhanced Brain Tumor Segmentation
by: Jiang, Zhifan, et al.
Published: (2024)

Adult Glioma Segmentation in Sub-Saharan Africa using Transfer Learning on Stratified Finetuning Data
by: Parida, Abhijeet, et al.
Published: (2024)

VolTA-3D: Self-Supervised Learning for Brain MRI using 3D Volumetric Token Alignment
by: Makawana, Amy, et al.
Published: (2026)

Lung-CADex: Fully automatic Zero-Shot Detection and Classification of Lung Nodules in Thoracic CT Images
by: Shaukat, Furqan, et al.
Published: (2024)

SelfFed: Self-Supervised Federated Learning for Data Heterogeneity and Label Scarcity in Medical Images
by: Khowaja, Sunder Ali, et al.
Published: (2023)

Model Ensemble for Brain Tumor Segmentation in Magnetic Resonance Imaging
by: Capellán-Martín, Daniel, et al.
Published: (2024)

Standardized Methods and Recommendations for Green Federated Learning
by: Tapp, Austin, et al.
Published: (2026)

Geometric Deep Learning for Automated Landmarking of Maxillary Arches on 3D Oral Scans from Newborns with Cleft Lip and Palate
by: Agaronyan, Artur, et al.
Published: (2025)

FeTTL: Federated Template and Task Learning for Multi-Institutional Medical Imaging
by: Parida, Abhijeet, et al.
Published: (2026)

Surface‐based morphometry of the corpus callosum in young children of ages 1–5
by: Niharika Gajawelli, et al.
Published: (2024)

Data Alchemy: Mitigating Cross-Site Model Variability Through Test Time Data Calibration
by: Parida, Abhijeet, et al.
Published: (2024)

LEDA: Log-Euclidean Diffeomorphism Autoencoder for Efficient Statistical Analysis of Diffeomorphisms
by: Iyer, Krithika, et al.
Published: (2024)

A New Logic For Pediatric Brain Tumor Segmentation
by: Bengtsson, Max, et al.
Published: (2024)

MedLeak: Multimodal Medical Data Leakage in Secure Federated Learning with Crafted Models
by: Shi, Shanghao, et al.
Published: (2024)

D-Rax: Domain-specific Radiologic assistant leveraging multi-modal data and eXpert model predictions
by: Nisar, Hareem, et al.
Published: (2024)

DiCoM -- Diverse Concept Modeling towards Enhancing Generalizability in Chest X-Ray Studies
by: Parida, Abhijeet, et al.
Published: (2024)

Probabilistic 3D Correspondence Prediction from Sparse Unsegmented Images
by: Iyer, Krithika, et al.
Published: (2024)

Graph-Based Deep Learning on Stereo EEG for Predicting Seizure Freedom in Epilepsy Patients
by: Agaronyan, Artur, et al.
Published: (2025)

Quantitative Metrics for Benchmarking Medical Image Harmonization
by: Parida, Abhijeet, et al.
Published: (2024)

Mesh2SSM++: A Probabilistic Framework for Unsupervised Learning of Statistical Shape Model of Anatomies from Surface Meshes
by: Iyer, Krithika, et al.
Published: (2025)

EMeRALDS: Electronic Medical Record Driven Automated Lung Nodule Detection and Classification in Thoracic CT Images
by: Eman, Hafza, et al.
Published: (2025)

LUMEN: Longitudinal Multi-Modal Radiology Model for Prognosis and Diagnosis
by: Jiang, Zhifan, et al.
Published: (2026)

Weakly Supervised Bayesian Shape Modeling from Unsegmented Medical Images
by: Adams, Jadie, et al.
Published: (2024)

Mamba-driven MRI-to-CT Synthesis for MRI-only Radiotherapy Planning
by: Barmpounakis, Konstantinos, et al.
Published: (2026)

REVISION DER GATTUNG CARDUUS (COMPOSITAE) TEIL II *)
by: Kazmi, Syed Muhammad Anwar
Published: (1963)

On the Minimum Spanning Tree Distribution in Grids
by: Tapp, Kristopher
Published: (2024)

Revisiting Compactness for District Plans
by: Tapp, Kristopher
Published: (2025)

Inductive Feit and Galois-McKay conditions for some small-rank simple groups of Lie Type
by: Tapp, Carlos
Published: (2025)

La autonomía en la práctica de la enfermería
by: Dianne Tapp
Published: (2005)

OpticNerveSeg: Public Dataset for Cranial Nerve II Segmentation from Multimodal MRI
by: Diakite, Alou, et al.
Published: (2026)

SCorP: Statistics-Informed Dense Correspondence Prediction Directly from Unsegmented Medical Images
by: Iyer, Krithika, et al.
Published: (2024)

Exploring Variational Graph Autoencoders for Distribution Grid Data Generation
by: Abbas, Syed Zain, et al.
Published: (2025)

A Proof-of-Concept Study of Multitask Learning for Cranial Synthetic CT Generation Across Heterogeneous MRI Field Strengths
by: Xin, Zhuoyao, et al.
Published: (2026)

An ADHD Diagnostic Interface Based on EEG Spectrograms and Deep Learning Techniques
by: Pappula, Medha, et al.
Published: (2024)

Verification of CT/MRI imaging protocol compliance for radiotherapy
by: Yunfei Hu, et al.
Published: (2025)

BabyFlow: 3D modeling of realistic and expressive infant faces
by: Alomar, Antonia, et al.
Published: (2025)

A Unified Framework for Foreground and Anonymization Area Segmentation in CT and MRI Data
by: Nohel, Michal, et al.
Published: (2025)